The Role of ICT in Driving a Sustainable Future
GeSI SMARTer 2020
The Role of ICT in Driving a Sustainable Future GeSI SMARTer 2020 - - PowerPoint PPT Presentation
The Role of ICT in Driving a Sustainable Future GeSI SMARTer 2020 Dr. Luis Neves Group Climate Change and Sustainability Officer Deutsche Telekom Chairman, Global e-Sustainability Initiative GeSI members and partners GeSI vision A sustainable
The Role of ICT in Driving a Sustainable Future
GeSI SMARTer 2020
Group Climate Change and Sustainability Officer Deutsche Telekom Chairman, Global e-Sustainability Initiative
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Developing economy growth rises 1900 1800 30,000 20,000 10,000 2000 1740 1760 1780 1820 1840 1860 1880 1920 1940 1960 1980 2020 Global CO2 emissions (Gt) Post-WWII economic boom Industrial revolution begins
Rainforest dieback Acidification
Species extinction Ice sheet melting Temperature changes Weather pattern shifts
SMARTer 2020 follows up the SMART 2020 study, which first evaluated ICT’s potential to enable a low-carbon economy in 2020
SMART2020 SMARTer 2020 Today In 2008
Key changes
Increase in potential due to:
solutions
due to recent trends and technological innovations
emissions Lower estimate due to:
have lower footprint than PCs
networks emissions available
factor
7.8
GtCO2e
Abatement potential in 2020 ICT industry's emissions in 2020
1.4
GtCO2e
2.6% of global emissions1
9.1
GtCO2e
1.3
GtCO2e
SMART2020 study SMARTer 2020 5.5x 7.2x
2.3% of global emissions1
The potential for information technology to reduce global carbon emissions has been under-estimated until now
Total abatement potential of ICT-enabled solutions in 2020 % of global GHG emissions in 2020
GHG emission reductions Number of barrels of oil with equivalent emissions1 At today's crude oil price, value of the oil that would be saved2 Equivalent number of jobs if the money was used in
9.1 Gt (16.5% of total) 21.6B barrels $1.9T 29.5M jobs
Barrel of oil emits 0.43 metric tons of CO2
1
$87.99 per barrel of crude oil as of Nov 6, 20122 Using the same ratio of economic value to jobs created as in SMART2020 report As estimated in the report
Though estimates, these calculation give a sense of the magnitude of the economic benefits
Savings of 21.6 billion barrels of oil1
Equivalent to GDP of the Russian economy2
crude oil as of Nov 6, 2012)
Transportation Buildings Manufacturing Power Service & Consumer Agriculture & Land-Use
Example 1: Smart farming
Example 2: Automation of industrial processes
Transportation Buildings Manufacturing Power Service & Consumer Agriculture & Land-Use
Example 3: Integration of renewables
Transportation Buildings Manufacturing Power Service & Consumer Agriculture & Land-Use
8 6
Abatement potential (GtCO2e)
10 4 2
Total
9.1
Process, activity, and functional
4.7
System integration
0.5
Digitalization & dematerialization
1.5
Data collection & communication
2.4
Abatement potential by change lever Major drivers
1.Of global GHG emissions in 2020 Source: BCG analysis 0101010 1001000
dematerial. Data coll. & Comm. System integration Optimization
that substitute or eliminate the need for a carbon- intensive product
innovations in change lever
complexity require real time analysis and communication
are also a major driver
manage the use of resources (e.g. building management system) and integrate less- carbon intensive processes (e.g. renewables)
simulation, automation, redesign, or control
driving growth of change lever
Transportation Service and consumer Agriculture and land use Manufacturing Buildings Power
Abatement potential modeled individually for each sub-lever
0101010 1001000
Change levers Sources of emissions by economic end-use sectors1 Data collection &
communication
Digitalization and dematerialization Process, activity and functional
System integration
Power-load balancing Power grid
Integration of renewables Virtual power plant Integration of
Demand management Time-of-day pricing Optimization of truck route planning Optimization of logistics network Integration of EVs, bio-fuels Intelligent traffic management Fleet management & telematics Eco-driving Real-time traffic alerts Apps for intermodal Asset sharing Video-conferencing Telecommuting Optimization of variable speed motors Automation of industrial processes Minimization of packaging Building design Voltage optimization Reduction in inventory Smart water Disaster management Asset sharing / crowd sourcing E-commerce E-paper Online media Smart farming Integration of renewables Livestock management Smart water Building design Voltage optimization Integration of renewables Building management system
Total abatement in GtCO2e: (% of all sector emissions1)
1.7 (14%) 2.0 (25%) 1.5 (9%) 0.7 (12%) 1.6 (13%) 1.6 (N/A2)
= calculated abatement potential by sub-lever
ICT emissions 2.3% of global emissions by 2020
Source: Gartner; Forrester ; U.S. Census Bureau; IEA; Greentouch; CEET; CDP; Ovum; GSMA; CERN; Cisco; CEET; SMART 2020: Enabling the low carbon economy in the information age; academic publications; industry experts; academic experts; manufacturer websites; GeSI Smart2020 Refresh team members; BCG analysis
Global ICT emissions (GtCO2e)
2.0 1.5 1.0 0.5 0.0 2020 1.27 2011 0.91 End-user devices 2002 0.53 Data centers Voice and Data Networks +6.1% +3.8% CAGR 2002-2011 CAGR 2011-2020 8.6% 7.1% 4.7% 4.6% 6.1% 2.3% % global GHG emissions 1.3% 1.9% 2.3%
Barriers to be addressed at national level Global policies
Establish carbon market to monetize emissions Develop financial aid programs for developing countries Set and enforce global cascading targets for GHG emission reduction Create "Center of Excellence" Ensure fair IP licensing
Recognize ICT solutions as part of a global strategy to reduce emissions
Deployment: Technology require full deployment to be effective Economics: High costs of smart gird and renewable technologies Energy Transportation Manufacturing Service and consumer Agriculture and land use Buildings Behavior and habits: Must change strong habits Infrastructure: Strong public transit must be in place to serve as a viable option Slow adoption: Often little motivation for action because of low energy prices M&E: Difficult to quantify savings Education: Few consumers realize or understand full benefits Behavior: Need to ensure private adoption without policy Economics: Need for stronger business case Financing: High upfront costs, especially for small farmers Landlord- tenant: Need to better align incentives and simplifying building code Financing: High upfront CAPEX costs
Individual behaviors, attitudes, and habits
All countries have unique circumstances that impact their ability to abate GHGs Policies at the national level are the most effective drivers of change in all countries Those differences drive which end-use sectors and which sub-levers deserve most attention
Brazil Canada U.K. China U.S. Germany India
8,000 6,000 4,000 2,000 1990 2000 2008 29 37 2,461 43 28 3,405 7,032 Others Service & building Manufacturing Transport Power 48 31
Source: World Bank; Wood Mackenzie; Xinhua Agency; China‘s 12th Five Year Plan; BCG analysis
+3.3% +9.5%
China’s CO2e emissions (1990-2008)
1% 20% 39% 2% Demand management (4 MtCO2e) Time of day pricing (79 MtCO2e) Integration of renewables (153 MtCO2e) Power grid optimisation (143 MtCO2e) Power load balancing (9 MtCO2e) 37%
68% Automation of industrial processes (165 MtCO2e) Optimisation of variable speed motor systems (347 MtCO2e) 32%
1,500 1,000 500 1990 2000 2010 36% 36% 1,246 1,039 937 Agriculture Service & consumer Manufacturing Transport Power
Source: World Bank; Wood Mackenzie; Xinhua Agency; China‘s 12th Five Year Plan; BCG analysis
Germany’s CO2e emissions (1990-2010)
34% 26%
1% 8% 72% 4% Demand management (0.3 MtCO2e) Time of day pricing (3.2 MtCO2e) Integration of renewables (28.8 MtCO2e) Power grid optimisation (5.71 MtCO2e) Virtual power plant (1.7 MtCO2e) 14%
82% Automation of industrial processes (6 MtCO2e) Optimisation of variable speed motor systems (27 MtCO2e) 18%
emissions targets (industrial emissions budget is too high)
not favourable in some niche areas e.g. old paper mills
to long change/upgrade cycles in some industries
Solutions
Source: World Bank; Wood Mackenzie; Xinhua Agency; China‘s 12th Five Year Plan; BCG analysis
Brazil’s CO2e emissions (1990-2008)
1,500 1,000 500 1990 2000 2008 1,288 Transport Energy Livestock Waste Land use
Agriculture
1% 19% 52% 8% Smart water (0.9 MtCO2e) Soil & weather management (17 MtCO2e) Deforestation prevention (46.8 MtCO2e) Livestock management (18 MtCO2e) Smart farming (7.2 MtCO2e) 20%
Please visit www.gesi.org/SMARTer2020 for the full text version of SMARTer 2020